Who is That? Brain Networks and Mechanisms for Identifying Individuals

Autor: Catherine Perrodin, Nikos K. Logothetis, Christoph Kayser, Taylor J. Abel, Christopher I. Petkov
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Trends in Cognitive Sciences
ISSN: 1364-6613
DOI: 10.1016/j.tics.2015.09.002
Popis: Social animals can identify conspecifics by many forms of sensory input. However, whether the neuronal computations that support this ability to identify individuals rely on modality-independent convergence or involve ongoing synergistic interactions along the multiple sensory streams remains controversial. Direct neuronal measurements at relevant brain sites could address such questions, but this requires better bridging the work in humans and animal models. Here, we overview recent studies in nonhuman primates on voice and face identity-sensitive pathways and evaluate the correspondences to relevant findings in humans. This synthesis provides insights into converging sensory streams in the primate anterior temporal lobe (ATL) for identity processing. Furthermore, we advance a model and suggest how alternative neuronal mechanisms could be tested.
Trends Our ability to identify unique entities, such as specific individuals, appears to depend on sensory convergence in the anterior temporal lobe. However, the neural mechanisms of sensory convergence in the anterior temporal lobe are unclear. Alternative accounts remain equivocal but could be tested by better bridging the findings in humans and animal models. Recent work in monkeys on face- and voice-identity processes is helping to close epistemic gaps between studies in humans and animal models. We synthesize recent knowledge on the convergence of auditory and visual identity-related processes in the anterior temporal lobe. This synthesis culminates in a model and insights into converging sensory streams in the primate brain, and is used to suggest how the neuronal mechanisms for identifying individuals could be tested.
Databáze: OpenAIRE
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